Python Data Engineer

Overview

321622BR

Job Type
Full Time

Your role
Are you an analytical thinker with experience in big data? Do you excel at developing innovative solutions? We are looking for a Data Developer with practical knowledge of Python and expertise in Semantic Web technologies.

You will:

• Design, prototype, build, and maintain new data pipelines features on our data platform, as well as support existing ones through debugging and optimization.
• Implement quality assurance and data quality checks to ensure the completeness, validity, consistency, and integrity of data as it flows through the pipeline.
• Collaborate closely with a global team of researchers, engineers, and business analysts to build innovative data solutions.
  
  

You will be part of a nimble, multi-disciplinary Data Architecture team within Group CTO, collaborating closely with specialists across various areas of Group Technology. Our team provides the foundation for data-driven technology management, facilitating processes from strategic and architecture planning to demand management, development, and deployment. The team is globally distributed, with members primarily based in Switzerland, the UK, and the US.

Your expertise
You have:

• 10+ years of Proven track record in hands-on development and design of data platforms, with a strong emphasis on data ingestion and integration.
• interest in linked data and Semantic Web technologies as enablers for data science and machine learning.
• strong command of application, data, and infrastructure architecture disciplines.
• experience working in agile, delivery-oriented teams.
  
  

Desired:

• university degree, preferably in a technical or quantitative field such as statistics, computer science, or mathematics.
• strong command of Python; proficiency in other languages (e.g., C++, Java) is desirable.
• strong understanding of data and databases (SQL, NoSQL, TripleStores, Hadoop, etc.).
• experience with efficient processing of large datasets in a production system.
• understanding of data structures and data manipulation techniques, including classification, parsing, and pattern matching.
• experience with Machine Learning and Artificial Intelligence is a plus.
  
  

You are:

• willing to take full ownership of problems and code, with the ability to hit the ground running and deliver exceptional solutions.
• a strong problem solver who anticipates issues and resolves them proactively.
• skilled in communicating effectively with both technical and non-technical audiences.
  
  

UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.

We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers.

How We Hire

We may request you to complete one or more assessments during the application process. Learn more

Join us
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.

We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Disclaimer / Policy Statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.